Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy.

  title={Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy.},
  author={Yangming Ou and Susan P. Weinstein and Emily F. Conant and Sarah Englander and Xiao Da and Bilwaj Gaonkar and M. Ani Hsieh and Mark Allen Rosen and Angela DeMichele and Christos Davatzikos and Despina Kontos},
  journal={Magnetic resonance in medicine},
  volume={73 6},
PURPOSE To evaluate DRAMMS, an attribute-based deformable registration algorithm, compared to other intensity-based algorithms, for longitudinal breast MRI registration, and to show its applicability in quantifying tumor changes over the course of neoadjuvant chemotherapy. METHODS Breast magnetic resonance images from 14 women undergoing neoadjuvant chemotherapy were analyzed. The accuracy of DRAMMS versus five intensity-based deformable registration methods was evaluated based on 2,380… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 11 extracted citations


Publications referenced by this paper.
Showing 1-10 of 107 references

Comparative evaluation of registration algorithms for different brain databases with varying difficulty: Results and insights

  • Y Ou, H Akbari, M Billelo, X Da, C. Davatzikos
  • IEEE Trans Med Imaging
  • 2014
2 Excerpts

Similar Papers

Loading similar papers…